Key Responsibilities :
- Understand business and technical requirements for data warehouse and ETL projects.
- Design, develop, and execute ETL test cases , test plans , and test scripts .
- Validate source-to-target data mappings and transformations.
- Perform data validation, data reconciliation, and regression testing.
- Write complex SQL queries to validate data loads and transformations.
- Identify, log, and track data defects using tools like JIRA , Bugzilla , or HP ALM .
- Work closely with ETL developers, data analysts, and business teams to ensure data accuracy.
- Automate data testing tasks where feasible using ETL test automation frameworks .
- Document all test results and provide regular status updates.
Required Skills and Qualifications :
Bachelor's degree in Computer Science, Information Systems, or related field.3+ years of hands-on experience in ETL testing and data warehouse validation .Strong proficiency in SQL and experience with databases like Oracle , Teradata , SQL Server , or Snowflake .Experience testing ETL tools like Informatica , Talend , DataStage , SSIS , etc.Understanding of ETL workflows , data transformation rules , and data pipelines .Familiarity with BI tools (e.g., Tableau, Power BI, OBIEE) is a plus.Preferred Qualifications :
Experience with big data testing (Hive, Spark, Hadoop).Knowledge of automation tools for data testing such as QuerySurge , Apache Nifi , or Selenium with SQL scripts .Exposure to cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow) is an advantage.Skills Required
Hive, Spark, Hadoop, Oracle, Teradata, Sql Server